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All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JiTEKH (Jurnal Ilmiah Teknologi Harapan) KLIK: Kajian Ilmiah Informatika dan Komputer JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Journal of Research and Publication Innovation Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
hidayatullah Al Islami
Universitas Pamulang
Aerospace Engineering Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Penerapan Metode Asosiasi Datamining Market Basket Analysis Menggunakan Algoritma Apriori Untuk Melakukan Pola Analisis Belanja Konsumen hidayatullah Al Islami
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol 1, No 1 (2020): February
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

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Abstract

Application  Of  Data  Mining  Association  Method  Market  Basket  Analysis  Using  Apriori  Algorithm  For  Consumer  Shopping  Analysis  Purpose  (Case  Study:  Sbmart Bukit  Nusa  Indah)  Data  Mining  is  a  discipline  that  studies  techniques  from patterns, statistics, databases, which aims to extract information useful and valuable. Transaction data within  1  year  is  very  unfortunate  if not  analyzed  and  reprocessed  to  obtain  useful  information  data such as to be able to know the product with the most sales and product linkage with each other. For that we need one of the data mining algorithm that is Market Basket Analysis and Apriori algorithm because algorithm apriori is the most famous algorithm to find high frequency pattern. The purpose of this  research  is  to  analyze  sales  sales  data  at  SBmart  Bukit  Nusa  Indah  Store.  The  results  of  the implementation  and  testing  obtained  from  the  processing  of  sales  transaction  data  in  the  form  of itemset data by applying the concept of association analysis of known mining support values on each item, item combination, and confidence value in the formation of frequent itemset using RapidMiner Studio 5.  The  most  purchased  item  simultaneously  by  consumers  of  SBMart  Bukit  Nusa  Indah,  if buying Biscuit to eat will buy Mineral Water with 70,43% confidence, Liquid Milk Tetra-Instant Noodles with 73,16% confidence, Liquid Tea & Cofee-Instant Noodles with confidence 79,33 %, Mineral Water -  Instant  Noodles  with  72.69%  confidence,  Modern  Snack  Pack-Instant  Noodles  with  74.22% confidence,  Instant  Noodles  Bread  with  83.78% confidence,  Egg-Instant  Noodles  with  84.02% confidence, Modern Snack Pack - Mineral Water with confidence 72.02% Egg-Mineral Water with a confidence73.36%.
Pelatihan Web Desain dan Help Desk Bagi Siswa Prodi Teknik Komputer Jaringan (TKJ) Pada SMK YPUI Parung Susanna Dwi Yulianti Kusuma; Hidayatullah Al Islami; Bagas Setiyaki Wicaksono; Farida Nurlaila; Budi Apriyanto
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 1, No 1 (2020): FEBRUARI
Publisher : Universitas Pamulang

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Abstract

Website dapat menyajikan berbagai informasi mengenai profil perusahaan, profil lembaga pendidikan dan lainlain. Selain itu website juga biasa dijadikan sebagai media promosi yang hemat sekaligus menampilkanprofesionalitas. Sehingga dibutuhkan profesi webdesain dan Help Desk untuk membangun website yanginteraktif dan menarik, serta seorang ahli Help Desk dalam menangani kesalahan yang terjadi pada halaman. Iniartinya bahwa terdapat sebuah peluang pekerjaan. Namun banyak sekolah yang belum menyiapkan bekalsiswa/i-nya ilmu tentang web desain dan Help Desk. Oleh karena itu, pada pengabdian kali ini siswa/I akandiajarkan cara mengenalkan cara menjadi seorang webdesain dan Help Desk yang handal dalam mengahdapiperkembangan teknologi saat ini. Metode yang digunakan untuk melakukan pelatihan ini dengan memberikanlangsung materi ke pada siswa/I SMK YPUI Parung dengan menggunakan perangkat komputer/laptop danjaringan internet. Untuk pencapain tujuan tersebut maka kegiatan pengabdian akan dilakukan secara langsungdalam ruangan yang diikuti oleh 32 orang siswa. Adapun untuk membuat Web Desain yang harus dilakukanadalah membuat white frame dan desain UI dan UX dengan software AdobeXD dan dasar pengenalan AdobePhotoshop. Selanjutnya untuk menjadi seorang Help Desk, yang harus dikuasai adalah problem solving,memahami bisnis proses sebuah perusahaan. Dengan adanya pelatihan ini, siswa/I SMK YPUI mendapatpengetahuan tentang cara membuat web desain dan dapat menjadi seorang heldesk yang profesional. Sehinggasetelah lulus dari sekolah dan ingin langsung bekerja, siswa/i dapat bersaing dengan yang lain.
SOSIALISASI DAN PELATIHAN FRAMEWORK CODELGNITER UNTUK SEKOLAH MENENGAH ATAS SYEKH YUSUF TANGERANG Susanna Dwi Yulianti K; Sartika Lina Mulani Sitio; Hidayatullah Al Islami; Bima Guntara
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol 1, No 1 (2020): KOMMAS:JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

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Abstract

Perkembangan Internet dan Web berkembang begitu cepat pada saat ini, yang mana dapat memunculkan cabang baru sains seperti teknologi rekayasa web. Rekayasa Web merupakan cabang ilmu baru yang termasuk kedalam studi evolusi atau web yang menggunakan Framework (kerangka kerja). Salah satu framework yang banyak digunakan saat ini adalah CodeIgniter. CodeIgniter merupakan aplikasi sumber terbuka yang berupa kerangka kerja dari PHP dengan model MVC (Model, View, Controller) dalam membangun website yang lebih dinamis dengan menggunakan PHP. CodeIgniter memudahkan pengembang web untuk membuat aplikasi web dengan cepat dibandingkan dengan membuatnya dari awal. CodeIgniter memiliki dokumentasi yang super lengkap disertai dengan contoh implementasi kodenya. Dokumentasi yang lengkap inilah yang menjadi salah satu alasan kuat mengapa banyak orang memilih CodeIgniter sebagai framework pilihannya. Dengan kelebihan-kelebihan yang dimiliki oleh CodeIgniter ini, masih banyak yang belum memanfaatkannya dikarenakan kurangtaunya tentang framework CodeIgniter. Sama seperti di Sekolah Menengah Atas Syekh Yusuf Tangerang, siswa-siswinya belum mengetahui tentang framework CodeIgniter. Ketidaktauan siswa terhadap framework CodeIgniter dikarenakan keterbatasan guru dalam mengajar, yaitu sempitnya waktu guru untuk mengajar atau keterbatasan waktu. Sehingga, guru bidang komputer mengajarkan hanya sebatas materi sesuai dengan silabus yang ditetapkan, belum dapat mengajarkan materi-materi diluar dari itu, seperti: materi tentang framework CodeIgniter. Dengan adanya masalah tersebut maka kami bermaksud untuk mengadakan pelatihan kepada siswa-siswa Sekolah Menengah Atas Syekh Yusuf Tangerang tentang perkembang web dan pembuatan web dengan framework CodeIgniter. Dimana dengan adanya pelatihan tersebut siswa-siswa dapat mengetahui tentang sejarah web, perkembang web, arti dari framework, yang terpenting adalah siswa dapat membuat web sendiri dengan framework CodeIgniter.
Peningkatan Kemampuan dan Keterampilan Siswa di Bidang TIK Berbasis SKKNI Pada SMK YPUI Parung Susanna Dwi Yulianti Kusuma; Hidayatullah Al Islami; Bagas Setiyaki Wicaksono; Farida Nurlaila; Budi Apriyanto
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol 1, No 3 (2020): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

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Abstract

Standar Kompetensi Kerja Nasional Indonesia (SKKNI) adalah rumusan kemampuan kerja yang mencakup aspek pengetahuan, keterampilan, atau keahlian serta sikap kerja yang relevan dengan pelaksanaan tugas dan syarat jabatan yang ditetapkan sesuai dengan ketentuan peraturan perundang-undangan. Penerapan SKKNI secara wajib oleh instansi teknis dan pemberlakuan SKKNI berlaku bagi tenaga kerja Indonesia dan tenaga asing yang bekerja di Indonesia. Namun, pada kenyataannya banyak dari calon tenaga kerja yang belum memenuhi standar tersebut bahkan belum mengetahui adanya penerapan SKKNI khususnya di kalangan lulusan Sekolah Menengah Kejuruan (SMK), karena kurangnya sosialisasi tentang SKKNI. Oleh karena itu, melalui Program Pengabdian Kepada Masyarakat (PKM) tim pelaksana melakukan kegiatan berupa penyuluhan, pendampingan, dan pemberian bekal kepada para siswa – siswi SMK YPUI Parung mengenai kesiapan diri menghadapi dunia kerja dengan bekal keterampilan dan pengetahuan sesuai SKKNI. Kegiatan ini mendapat sambutan baik dari siswa – siswi SMK YPUI Parung dan para siswa mendapat pengetahuan baru mengenai SKKNI.Kata Kunci : Standar Kompetensi Kerja, Sekolah Menengah Kejuruan, SKKNI
Sistem Penagihan Hutang Usaha Berbasis Web Pada PT Djojosindo Menggunakan Metode Extreme Programming Chaerul Zaman; Hidayatullah Al Islami
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 10 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

PT Djojosindo is a company engaged in digital printing. The provision of material goods for production is also ordered to vendors selected by the company on a tempo basis and can be referred to as trade payables. The process of recording all accounts payable data obtained from several invoices received from vendors is done manually in a ledger so that it is less effective in terms of searching for data and calculating accounts payable which needs to be known in nominal terms, especially debts that must be paid in a timely manner. a long time and can make the company's expenses unstable and not timely causing invoice data to be missed which has an impact on late invoice payments. Payment of accounts payable is done manually referring to the due date of each invoice, making invoice payments sometimes exceed the due date which can affect the company's reputation in the eyes of the vendor and reduce the vendor's level of trust in the company.The process design method is focused on model development using UML (Unified Model Language) and using the PHP programming language, as well as Xampp v3.2.2 with Apache as the web server and MySQL as database storage.This research produces an application that is able to record all accounts payable data so that it is easy to find data and estimate future debt calculations in the future so as to reduce the impact of missed invoice recordings that often occur by employees and this application is able to make invoice payments automatically by the system to customers. vendor accounts according to the payment due date.
Sistem Pakar Untuk Mendiagnosa Penyakit Dalam Dan Menentukan Jenis Tanaman Herbal Serta Cara Pengolahannya Dengan Menggunakan Metode Certainty Factor (CF) Arif, Muhammad; Al Islami, Hidayatullah
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 2 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Internal medicine is a disease that usually attacks humans. Most of the internal diseases that occur are often considered trivial, and if the disease is not treated immediately it will become more serious and serious. So because of that we need a tool or system that has the ability like a doctor in diagnosing this internal disease. The system is an expert system that solves problems as is usually done by experts. This study aims to create an expert system application for diagnosing internal medicine. The application of this system diagnoses internal medicine with the Prototype and the Certainty Factor method. The Certainty Factor method is a method for proving whether a fact is certain or uncertain. This method provides space for experts to give confidence in the knowledge they express. From calculations using the Centainty factor method for each disease, from the symptoms entered by the user for hypotension the probability is 0.92% or 92%, while the symptoms entered by the user for hypertension are likely to be 0.994624 or 99.46%, from the results of the comparison the probability is obtained the maximum value of CF is 0.994624 or 99.46% with hypertension.
FORECASTING ALGORITMA REGRESI LINIER PADA PEMBERANGKATAN UNIT LUAR PULAU UNTUK MEMPREDIKSI JANGKA WAKTU PENERIMAAN UNIT AC Randy Nurmanto; Hidayatullah Al Islami
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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In the era of Global Warming like now Air Conditioner is something that is quite important to control the room temperature to stay cool and comfortable, this can be seen in every modern store that mushrooms almost all use air conditioning. PT. XYZ as a company whose core business is rental and service Air Conditioner distributes Air Conditioner in every modern store following the expansion of modern stores, this causes shipping also following the expansion of modern stores. The distribution of units is carried out using cargo that still has both internal and external factors in each shipment that cause delays in units until the time of installation. The purpose of this study is to provide information in the form of predictions of unit estimates to help in planning and supervising the delivery of Air Conditioner units. The method used in this study is Forecasting with Simple Linear Regression algorithm, this method will manage quantitative data which will produce output in the form of predictions against until unit estimates. The results of this method which uses two delivery objects, namely Samarinda and Medan, Samarinda are known to have an accuracy rate of 90.25% prediction results with a MAPE value of 9.75% which can be categorized as very feasible to use. While the terrain delivery is known to have an accuracy rate of 79.13% prediction results with a MAPE value of 21.87% which can be categorized as quite feasible to use. So that the information generated from the results of prediction calculations with the Simple Linear Regression algorithm Forecasting method can be used.
Analisis Sentimen Terhadap Industri E-Sports Pada Media Sosial Twitter Dengan Menggunakan Metode K-Nearest Neighbor Desi Jasmiati; Hidayatullah Al Islami
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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The phenomenon of e-sports has experienced significant developments along with the rapid development of information and communication technology during the industrial revolution 4.0. This industry has achieved several lucrative achievements and has become a popular topic that reaps a variety of comments on social media, one of which is Twitter. Sentiment analysis is useful for determining the tendency of public opinion to be positive or negative, so that later it can become structured information. The data used is 200 twitter comments. The processes carried out are crawling, preprocessing including cleaning, normalization, case folding, stopword removal, tokenizing, and stemming, carrying out sentiment labeling and weight calculations using TF-IDF. The classification method uses K-Nearest Neighbor, validation tests use 10-fold cross validation and accuracy calculations use the confussion matrix formula. The rapid miner tool is used to process the stages automatically. The final result obtained a value of k = 6 as the highest value with an accuracy of 66.00%, precision with a value of 67.34%, recall 78.06% and AUC with a value of 0.762. While the results of the sentiment classification obtained positive sentiment superior to negative sentiment. Based on these results, the K-Nearest Neighbor method is considered to be able to classify well and it is known that Indonesian people currently respond to the e-sports industry tends to provide more positive stigma and a good response.
Sistem Pakar Untuk Mendiagnosa Penyakit Sistem Saraf Pusat Berbasis Web Dengan Menggunakan Metode Forward Chaining (Studi Kasus : Rumah Sakit Hermina Serpong Tangerang) I.Gusti Ayu Melandra Putri; Hidayatullah Al Islami
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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The nervous system is one of the organs that perform activities of a coordinating body. Central nervous system functions primarily to detect, analyze, process and deliver information. Sensory systems collect information which are processed in the brain and transmitted to the motor system to control the movement, visceral activity, and endocrine functions. All the action from the sensory and motor systems are controlled by nerves which are interconnected to form a network of signaling. Lack of information and knowledge about neurological causes many sufferers of neurological diseases. The methods used in this research is a method of Forward Chaining. The system to be built is a computer-based information system by utilizing the technology of artificial intelligence that serves as system tools or the giver of neurological diagnosis results to the user. Diagnoses generated by this system is equipped with a type of central nervous disease with pecegahan and the way of treatment. The system will analyze your answers to each question are given, so that the obtained results diagnoses based on the existing knowledge base in expert system. Research results in the form of expert system that can help users know what kind of diseases of the central nervous, giving information regarding central nervous disease and knowing how treatment and prevention.
Implementasi Data Mining Untuk Pengelompokan Aset Perusahaan Pada Regional Office PT.NAK Dengan Metode K-Means Clustering Jumadi; Hidayatullah Al Islami
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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In terms of the procurement and distribution of company assets in the PT.NAK regional office, it is influenced by the planning carried out. So that assets can be available with the type and amount that is sufficient according to the operational needs of the project. At present the location of the existing regional office area has not carried out activities as expected, considering several obstacles including proper data collection and monitoring of assets so that the whereabouts of assets are not known and properly managed, the ability of experts, limited knowledge of regional office management, policies head office management, and limited access to facilities. As a result of this condition, asset management is still conventional where data processed manually is considered ineffective in terms of time and does not provide clear information regarding asset data that must be prioritized for replacement or repair. This research will develop a data mining system that can help the process of grouping regional office asset data into several clusters, thereby reducing the time it takes to process data for plans to purchase assets as needed and reduce the accumulation of assets that are not used quickly. This study uses the K-Means clustering method, which is a method that can be used to group data based on the degree of similarity and characteristics of the data. The application of the K-Means method in this study is used to process data that will be entered into each of the 3 clusters, the first cluster is asset data that is not suitable for use or must be repaired or replaced with purchases over 5 years, and the second is that asset data is still feasible used with a maximum purchase of 5 years and the three data assets are very suitable for use with a maximum of 2 years of new purchases. The data used is data obtained from research results in the field where there are 6434 raw data that are processed according to research needs into 322 data that will be tested on the system. Based on the test results on the system using the K-Means Clustering method, it was found that 119 assets were included in the first cluster, 5 assets were included in the second cluster and 199 assets were included in the third cluster.
Co-Authors Abdul Ghofur Achmad Anta Maulana Ade Aulia Ade Fikri Ade Septiandi Adi Ranlam Hidayat Agus Ammar Rianto Agus Miftakul Angsori Ahmad Rafli Oktavianto Aji Pangestu, Dhimas Ananda, Rizky Raya Annisa Meliany Mumtaz Antoni, Fakhri Aonillah, Ahmad Arraihan Rasya Fadhilah Aulia, Dewi Putri Badar Syahputra Bagas Setiyaki Wicaksono Bagas Setiyaki Wicaksono Bima Guntara Budi Apriyanto Budi Apriyanto Chaeruddin Ramadhan Chaerul Zaman Desi Jasmiati Devi Pratiwi Devin Febrian Kurnia Elisnawati Erna Dewi L. Farida Nurlaila Farida Nurlaila Farruq Matsal Pahrevi, Muhammad Fibiangga, Narendra Fiqram Rajes Adiputra, Muhammad Gusti Sulaiman Panbada Hafizh Sahal, Abdullah Hanifa Zahara Haris Darmawan Hasanatul Athpaliah Hatta Agus Hairul Hendri Yahya Hilal Dzakwan, Muhammad Hirzi Firmansyah I.Gusti Ayu Melandra Putri Ibnu Adhan, Alvito Imam Hanafi Irawan, Achmad Ferrysqo Jihan Nabiylah Jiratullah, Farhan Jumadi Kesya Ayu Fatharani Laode Made Rai Syaikah Maulana Fansyuri Maulida Azzahra Mufid Ahmad Muhamad Mashuri Hafid Muhamad Syarif Afriansyah Muhammad Afdan Alghifari Muhammad Anshari, Muhammad Muhammad Arif Muhammad Maulana Pamungkas, Nur Muhammad Miftahur Rizki Muhammad Naufal Bilal Syam Muhammad Naufal Musyaffa Suchyar Muhammad Raddhyan Rashif Nabiel Mochammad Lathif Mendur Nur Aisah Septiyana Perani Rosyani Perdinand, Billy Putri Dyatna, Erika Raevaldo Ardial Magri P Rakha Satya Maldini Randy Nurmanto Rio Saputro Rizki Abdi Wicaksono Rizki Abdul Karim Rizki Khairul Anwar Rizki Ramadhani Ruly Suryana Saddam Muhammad Saeful Fatah Sartika Lina Mulani Segi Wulandari Wibowo Shan Attar Syach Sukardi Hi Hasim Susanna Dwi Yulianti K Susanna Dwi Yulianti Kusuma Wina Febi Deaulya Putri Yulianti K, Susanna Dwi Zaeni Lafarup, Muhamad